Social Mobility Sharing

Traffic congestion, dominated by single-occupancy vehicles, reflects not only transportation system inefficiency and externality, but also a sociological state of human isolation. Advances in information and communications technology are enabling the growth of real-time ride sharing to improve system efficiency. Lesser understood, however, are the expectation and experience of social interactions and social prejudice during ride sharing. JTL investigates the nature of shared rides: impromptu, captive for a considerable duration, and even intimate in a confined space, particularly its unique juxtaposition of spontaneity and intensity; develops human-centric ride sharing systems that respect both network efficiency and individuals’ preferences (or lack of) for human interaction; and explore the opportunities of shared mobility as a tool to foster and strengthen human interactions.

Mobility Sharing as a Preference Matching Problem, Zhang, Hongmou, and Zhao Jinhua , Transportation Research Part B, (Submitted)

Traffic congestion, dominated by single-occupancy vehicles, reflects not only transportation system inefficiency and negative externalities, but also a sociological state of human isolation. Advances in information and communication technology are enabling the growth of real-time ridesharing to improve system efficiency. While ridesharing algorithms optimize passenger matching based on efficiency criteria (maximum number of paired trips, minimum total vehicle-time or vehicle-distance...

The Tradeoff Between Efficiency and Fellow Passenger Preference: a Preference-Based Ridesharing Model, Zhang, Hongmou, and Zhao Jinhua , Transportation Research Board 96th Annual Conference, Washington, D.C., (2017)

Advances in information technology are enabling the growth of real-time ridesharing—whereby passengers are paired up on car trips to improve system efficiency by using fewer cars. Lesser known, however, are the opportunities of shared mobility as a tool to foster and strengthen human interactions. The nature of shared car rides is impromptu, captive for a considerable duration, and remarkably more intimate, representing a unique juxtaposition of spontaneity and intensity. While ridesharing...

Dynamic Pricing in Shared Mobility on Demand Service and its Social Impacts, Qiu, Han, Li Ruimin, and Zhao Jinhua , Transportation Research Part B, (Submitted)

 

We consider a daily-level profit maximization of a shared mobility on-demand (MoD) service with request-level control, and possible government interventions to improve system efficiency. We use discrete choice models to describe traveler behavior, apply the assortment and price optimization framework to model the request-level dynamics, and leverage insights from dynamic programming to develop daily-level optimization problem. We solve this problem by designing parametric rollout...

Understanding the Usage of Stationless Bike Sharing in Singapore, Shen, Yu, Zhang Xiaohu, and Zhao Jinhua , Working paper, (2017)
User Identification of and Attitude Toward Dynamic Ridesourcing Services, Dawes, Margo, and Zhao Jinhua , Transportation Research Board 96th Annual Conference, Washington, D.C., (2017)

Media coverage of ridesourcing services such as Uber and Lyft has described a rivalry between new technology and the established taxi industry. Individual users and non-users of ridesourcing may have more nuanced perspectives, but policymakers have had little guidance on how to best represent these interests. This study uses a standardized questionnaire distributed across the United States by an online survey company to understand individual attitudes toward Uber, Lyft, and ridesourcing...

Dynamic Pricing in Shared Mobility on Demand Service and its Social Impacts Master of Science in Transportation, Qiu, Han , Department of Civil and Environmental Engineering, 06/2017, Volume Master of Science in Transportation , Cambridge, MA, (2017)

In this thesis, we formulate and solve a profit maximization problem of shared mobility on demand service operations, and investigate the impact of such operations on performance of transportation system with a carefully designed case study. It is shown that our approach can generate much more profit than other basic strategies, though it has negative impacts on system performance, such as increasing congestion level and reducing capacity provided. We also consider possible regulation...

Perspectives on the Ridesourcing Revolution : surveying individual attitudes toward Uber and Lyft to inform urban transportation policymaking, Dawes, Margo , Department of Urban Studies and Planning, Volume MCP, Cambridge, MA, (2016)

Media coverage of ridesourcing services such as Uber and Lyft has described a rivalry between new technology and the established taxi industry. Individual users and non-users of ridesourcing, however, may have more nuanced perspectives, but policymakers have little guidance on how to best represent these interests. This thesis uses a standardized questionnaire distributed across the United States by an online survey company to understand individual attitudes toward Uber, Lyft, and...

Humanizing Travel: How E-hail Apps Transform Stakeholder Relationships in Taxi Services, Li, Corinna, and Zhao Jinhua , Transportation Research Board 94th Annual Meeting, Washington, D.C., (2015)

Efficiency benefits of the increasingly popular taxi-hailing (e-hailing) apps have been widely discussed - reduction of search time, convenience for passengers, and higher income for drivers. However the project proposes that there is a qualitative difference that e-hailing apps are engendering in the United States (U.S.) taxi industry above and beyond their quantitative impacts. E-hailing establishes direct connections between drivers and passengers, making ride requests person-to-person...

TEAM MEMBERS

Margo Dawes's picture
MCP Student
Corinna Li's picture
MCP-MST Student
Scott Middleton's picture
MST/MCP Student
Javier Morales Sarriera's picture
MST
Neema Nassir's picture
Postdoctoral Associate
M. Elena Renda's picture
Visiting Scholar
Adam Rosenfield's picture
MST/MCP Student
Hongmou Zhang's picture
PhD Student
Jinhua Zhao's picture
Edward H. and Joyce Linde Associate Professor